Data Scientist, Drew Conway calls them “10 reasons to always start your analysis in R”. They’re all very useful R packages that every data scientist/analytics should be aware of. Read More…
Here is a link to a 27 page PDF Survey Report on Big Data Hadoop Practitioners produced by the SandHill Group and released a little over a month ago.
The report authored by Bradley Graham and M. R. Rangaswami contains lots of useful information for current and future Hadoop users. Read More
Daniel Westheide created and published a blog series called The Neophyte’s Guide to Scala, targeted at aspiring Scala enthusiasts who have already made their first steps with the language and are looking for more detailed explanations. This page serves as a hub for everything related to this series. Read More
In case you missed it the first time, I’m pulling this popular post out again, while we produce the next set of articles tonight.
On more than one occasion I’ve asked a data scientist, analyst, or programmer what their favorite coding language is and the response was Python. Its often not a normal response though, it’s like they’ve found their higher power. I mean they LOVE it man!
So since it’s an incredibly useful and flexible tool, I wanted to address it here on the Data Science Report. Read More
Mobile is already changing everything about the way we access information, and we’ve only begun to experience the impact of the smart devices revolution. Mobile analytics is also very different from web product analytics. Watch Video
The objective of this introduction (video) was to educate our division on the strong trend towards functional programming that has occurred over the past few years.
Joe Barnes of Mentor Graphics gave the presentation in the context of Scala, now used by over 40 large companies including LinkedIn, AOL, Bank of America, Huffington Post and many more. Watch Video
In this talk, you will learn about the architecture and setup that the Huffington Post built to power their realtime websocket based commenting framework. Leveraging RabbitMQ, SockJS, Cowboy and Erlang, they were able to build and design a highly scalable, customizable solution to power realtime comments.
You will learn about some of the pitfalls they hit, as well as some of the improvements they would like to make to take their platform to the next level. Watch Video
Martin Odersky writes, “Time wise, the two courses follow each other. Principles of Functional Programming starts September 16 and goes for 7 weeks, then Principles of Reactive Programming starts November 4 and also goes for 7 weeks. (MR5RZMKG9XBF)
So if you want learn about reactive programming but feel your Scala skills could use some improvement, there’s still time to enroll for the functional programming course.” Read More…
Mike Abbott has plenty of experience, having taken Twitter’s engineering team from 80 to 350 in 18 months and building the team that engineered WebOS at Palm. Hard to find many people who have been directly responsible for hiring as many software engineers in the last five years.
Here are a few of the top strategies and insights pulled from Mike on how to get great engineers to join your startup. Read More…
August 15th, 2013 By Lisa Sensmeier This guest post from Sofia Parfenovich, Data Scientist at Altoros Systems, a big data specialist and a Hortonworks System Integrator partner. Sofia explains how one of its data scientists optimized a customer’s trading solution by using Apache Hadoop and by clustering stock data. Automated trading solutions are widely used by investors, banks, funds, and […]